Cited by 4

Analytical Figures of Merit of a Dual‐Wavelength Absorbance Approach for Real‐Time Broad Protein Content Monitoring for Biomanufacturing

Westwood, Frank, Ponstingl, Michael, Dickens, Jason E.·2024·Journal of Pharmaceutical and Biomedical Analysis

Abstract

Real-time in-line broad protein content monitoring in biomanufacturing downstream unit operations enables the ability to optimize and afford consistent protein recovery. Protein determination from 2 to 400 mg/mL is demonstrated herein via real-time dual-wavelength LED photometric sensor configured at 280 and 310 nm. The figures of merit of this approach include measurement accuracy within the common acceptance criteria of 100 % ± 5 with negligible bias across the linear dynamic ranges. This work expands the utility of an LED based photometric sensor for biopharmaceutical process analytical technology (PAT) applications. It is also congruent with process digitalization and automation industry 4.0 concepts underpinned by Quality by Design (QbD) principles.

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Crossref · 10.1016/j.jpba.2024.115965

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  • A dual wavelength LED photometric sensor configured at two wavelengths used UV absorbance to determine protein concentration during the tangential flow filtration process.

    “Another study employed a dual wavelength LED photometric sensor configured at two different wavelengths, where UV absorbance was used in determining the protein concentration during the tangential flow filtration process (TFF) [79].”
  • Implementing VPE systems has challenges: they are computer-controlled, can consume a significant footprint, involve various interchangeable components, and require routine cleaning and clearance verifications.

    “However, there are some challenges in implementing VPE systems as they are computer‐controlled, can consume a significant footprint, involve various interchangeable components and require routine cleaning and clearance verifications [79].”

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Authors
Westwood, F., Ponstingl, M., & Dickens, J. E.
Venue
Journal of Pharmaceutical and Biomedical Analysis
Publisher
Elsevier BV
Published
2024-04
Volume
241
Pages
115965
ISSN
0731-7085
Cited by
4
References
0
Language
en

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